Meet the Researchers
Nitish R. Sinha
[email protected]
Education
- Ph.D., Finance, Robert H Smith School of Business, University of Maryland, 2010
- M.B.A., Management, Indian Institute of Management, Ahmedabad, 2002
- B.S., Electrical Engineering, Indian Institute of Technology, Kanpur, 1999
- Text Analysis, Market Efficiency,
- Treasury Rates, Forecasting
Special Adviser to the Board
Board of Governors of the Federal Reserve System
2021 - presentGroup Manager
Board of Governors of the Federal Reserve System
2018 - presentPrincipal Economist
Board of Governors of the Federal Reserve System
2017 - 2018Senior Economist
Board of Governors of the Federal Reserve System
2015 - 2017Economist
Board of Governors of the Federal Reserve System
2013 - 2015Assistant Professor
College of Business Administration, University of Illinois at Chicago
2010 - 2013
- The power of narrative sentiment in economic forecasts
Steven A. Sharpe, Nitish R. Sinha, and Christopher A. Hollrah
International Journal of Forecasting (2023)
https://doi.org/10.1016/j.ijforecast.2022.04.008 - Are Real Assets Owners Less Averse to Inflation? Evidence from Consumer Sentiments and Inflation Expectations
Geng Li and Nitish Ranjan Sinha
Finance and Economics Discussion Series (2023)
https://doi.org/10.17016/FEDS.2023.058 - A New Index to Measure U.S. Financial Conditions
Andrea Ajello, Michele Cavallo, Giovanni Favara, William B. Peterman, John Schindler, and Nitish R. Sinha
FEDS Notes (2023)
https://doi.org/10.17016/2380-7172.3281 - How sensitive is the economy to large interest rate increases? Evidence from the taper tantrum
Nitish Sinha and Michael Smolyansky
Finance and Economics Discussion Series (2022)
https://doi.org/10.17016/FEDS.2022.085 - Integrating Prediction and Attribution to Classify News
Nelson P. Rayl and Nitish R. Sinha
Finance and Economics Discussion Series (2022)
https://doi.org/10.17016/FEDS.2022.042 - A Discussion of "Text Selection"
Nitish Ranjan Sinha
Journal of Business & Economic Statistics (2021)
https://doi.org/10.1080/07350015.2021.1961785 - Corrigendum to "Evaluating the Conditionality of Judgmental Forecasts"
Travis J. Berge, Andrew C. Chang, and Nitish R. Sinha
International Journal of Forecasting (2021)
https://doi.org/10.1016/j.ijforecast.2020.08.006
See also » FRB Working Paper (2019) - The Power of Narratives in Economic Forecasts
Steven A. Sharpe, Nitish R. Sinha, and Christopher A. Hollrah
Finance and Economics Discussion Series (2020)
https://doi.org/10.17016/FEDS.2020.001r1 - Evaluating the Conditionality of Judgmental Forecasts
Travis J. Berge, Andrew C. Chang, and Nitish R. Sinha
International Journal of Forecasting (2019)
https://doi.org/10.1016/j.ijforecast.2019.03.026
See also » FRB Working Paper (2019) - What's the Story? A New Perspective on the Value of Economic Forecasts
Steven A. Sharpe, Nitish R. Sinha, and Christopher A. Hollrah
Finance and Economics Discussion Series (2018)
https://doi.org/10.17016/FEDS.2017.107r1 - News vs. Sentiment: Predicting Stock Returns from News Stories
Steven L. Heston and Nitish R. Sinha
Financial Analysts Journal (2017)
https://doi.org/10.2469/faj.v73.n3.3 - Which Market Indicators Best Forecast Recessions?
Travis Berge, Nitish Sinha, and Michael Smolyansky
FEDS Notes (2016)
https://doi.org/10.17016/2380-7172.1805 - Underreaction to News in the US Stock Market
Nitish Ranjan Sinha
Quarterly Journal of Finance (2016)
https://doi.org/10.1142/S2010139216500051 - News versus Sentiment: Predicting Stock Returns from News Stories
Steven L. Heston and Nitish Sinha
Robert H. Smith School of Business Research Paper Series (2015)
https://doi.org/10.2139/ssrn.2311310
See also » FRB Working Paper (2016) - Using Big Data in Finance: Example of Sentiment-Extraction from News Articles
Nitish Sinha
FEDS Notes (2014)
https://doi.org/10.17016/2380-7172.0011 - Essays on News and Asset Prices
Nitish Sinha
Dissertations (University of Maryland, College Park) (2010)
Awards
- 2012
UIC Liautaud school of business
Favorite MBA Professor of the year
- 2011
Chicago Quantitative Alliance
Best Paper
- 2011
Midwest Finance Association
Best Paper, Investments
- 2008
Robert H Smith School of Business, University of Maryland
Allan N. Nash outstanding doctoral student award
- 2017
CFA association
Graham and Dodd scroll for best writing in the Financial Analyst Journal
Conference Organization
Oct 1-2, 2019 | Washinton DC
, Nontraditional Data, Machine Learning, and Natural Language Processing in Macroeconomics
Program Committee
May 14-15, 2019 | London
Gender and Career Progression with a focus on issues in finance, economics and central banking
Co-organizer
Referee
- Review of Financial Studies
- Accounting and Business Research
- International Journal of Forecasting
- Journal of Empirical Finance
- Quantitative Finance
- Journal of Banking and Finance
- Journal of Economic Surveys
- Journal of Applied Economics
- Financial Review
- Harvard Business Cases
Professional Affiliation
- American Finance Association
- Financial Management Association